Global Big Data Analytics in Banking Market Size, Status and Forecast 2018-2025

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The Big Data Analytics in Banking Market report covers a number of parameters, such as standing of top market players, as well as the forecast of the next 5 years.

The report talks about past standings as well as upcoming predictions of the market. The report clearly demonstrates the information in terms of graphs and tables to easily identify the trends in the industry.

Below is the majority of content covered in this report

  • Big Data Analytics in Banking Product details, including pictures and technical specifications
  • Big Data Analytics in Banking manufacturers, distributors and channels
  • Major players present in the Big Data Analytics in Banking
  • Information on competitor market shares, revenue, unit sales etc
  • Breakdown by applications for the Market
  • Value chain and distributor details in the market

The report covers the information pertaining to following geographies

  • United States
  • Europe
  • China
  • Japan
  • Southeast Asia
  • India
  • Central & South America

Additionally, the market is segmented by the following sectors

  • On-Premise
  • Cloud

Please contact us if you are looking for any other possible breakdown across the products.

Not only this, figures covering the end user applications are also provided according to the following classification

  • Feedback Management
  • Customer Analytics
  • Social Media Analytics
  • Fraud Detection and Management
  • Others

In summary, the report serves to study and analyse the Big Data Analytics in Banking size (value & volume) by company, key regions/countries, products and application, history data from 2013 to 2017, and forecast to 2025. This report includes the estimation of market size for value (million US$) and volume (K MT). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Big Data Analytics in Banking, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.

Overall the report is an excellent source for managers, researches and top executives alike to analyse and get clarity on the market standings and business forecast. We provide the information after thorough research and analysis saving precious hours and budget for the companies. We have been serving major clients like Sony, BCG, PWC, Mck, Hewlett Packard, Technicolor Etc.

  • 1 Report Overview
    • 1.1 Study Scope
    • 1.2 Key Market Segments
    • 1.3 Players Covered
    • 1.4 Market Analysis by Type
      • 1.4.1 Global Big Data Analytics in Banking Market Size Growth Rate by Type (2013-2025)
      • 1.4.2 On-Premise
      • 1.4.3 Cloud
    • 1.5 Market by Application
      • 1.5.1 Global Big Data Analytics in Banking Market Share by Application (2013-2025)
      • 1.5.2 Feedback Management
      • 1.5.3 Customer Analytics
      • 1.5.4 Social Media Analytics
      • 1.5.5 Fraud Detection and Management
      • 1.5.6 Others
    • 1.6 Study Objectives
    • 1.7 Years Considered
  • 2 Global Growth Trends
    • 2.1 Big Data Analytics in Banking Market Size
    • 2.2 Big Data Analytics in Banking Growth Trends by Regions
      • 2.2.1 Big Data Analytics in Banking Market Size by Regions (2013-2025)
      • 2.2.2 Big Data Analytics in Banking Market Share by Regions (2013-2018)
    • 2.3 Industry Trends
      • 2.3.1 Market Top Trends
      • 2.3.2 Market Drivers
      • 2.3.3 Market Opportunities
  • 3 Market Share by Key Players
    • 3.1 Big Data Analytics in Banking Market Size by Manufacturers
      • 3.1.1 Global Big Data Analytics in Banking Revenue by Manufacturers (2013-2018)
      • 3.1.2 Global Big Data Analytics in Banking Revenue Market Share by Manufacturers (2013-2018)
      • 3.1.3 Global Big Data Analytics in Banking Market Concentration Ratio (CR5 and HHI)
    • 3.2 Big Data Analytics in Banking Key Players Head office and Area Served
    • 3.3 Key Players Big Data Analytics in Banking Product/Solution/Service
    • 3.4 Date of Enter into Big Data Analytics in Banking Market
    • 3.5 Mergers & Acquisitions, Expansion Plans
  • 4 Breakdown Data by Type and Application
    • 4.1 Global Big Data Analytics in Banking Market Size by Type (2013-2018)
    • 4.2 Global Big Data Analytics in Banking Market Size by Application (2013-2018)
  • 5 United States
    • 5.1 United States Big Data Analytics in Banking Market Size (2013-2018)
    • 5.2 Big Data Analytics in Banking Key Players in United States
    • 5.3 United States Big Data Analytics in Banking Market Size by Type
    • 5.4 United States Big Data Analytics in Banking Market Size by Application
  • 6 Europe
    • 6.1 Europe Big Data Analytics in Banking Market Size (2013-2018)
    • 6.2 Big Data Analytics in Banking Key Players in Europe
    • 6.3 Europe Big Data Analytics in Banking Market Size by Type
    • 6.4 Europe Big Data Analytics in Banking Market Size by Application
  • 7 China
    • 7.1 China Big Data Analytics in Banking Market Size (2013-2018)
    • 7.2 Big Data Analytics in Banking Key Players in China
    • 7.3 China Big Data Analytics in Banking Market Size by Type
    • 7.4 China Big Data Analytics in Banking Market Size by Application
  • 8 Japan
    • 8.1 Japan Big Data Analytics in Banking Market Size (2013-2018)
    • 8.2 Big Data Analytics in Banking Key Players in Japan
    • 8.3 Japan Big Data Analytics in Banking Market Size by Type
    • 8.4 Japan Big Data Analytics in Banking Market Size by Application
  • 9 Southeast Asia
    • 9.1 Southeast Asia Big Data Analytics in Banking Market Size (2013-2018)
    • 9.2 Big Data Analytics in Banking Key Players in Southeast Asia
    • 9.3 Southeast Asia Big Data Analytics in Banking Market Size by Type
    • 9.4 Southeast Asia Big Data Analytics in Banking Market Size by Application
  • 10 India
    • 10.1 India Big Data Analytics in Banking Market Size (2013-2018)
    • 10.2 Big Data Analytics in Banking Key Players in India
    • 10.3 India Big Data Analytics in Banking Market Size by Type
    • 10.4 India Big Data Analytics in Banking Market Size by Application
  • 11 Central & South America
    • 11.1 Central & South America Big Data Analytics in Banking Market Size (2013-2018)
    • 11.2 Big Data Analytics in Banking Key Players in Central & South America
    • 11.3 Central & South America Big Data Analytics in Banking Market Size by Type
    • 11.4 Central & South America Big Data Analytics in Banking Market Size by Application
  • 12 International Players Profiles
    • 12.1 IBM
      • 12.1.1 IBM Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 Big Data Analytics in Banking Introduction
      • 12.1.4 IBM Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.1.5 IBM Recent Development
    • 12.2 Oracle
      • 12.2.1 Oracle Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 Big Data Analytics in Banking Introduction
      • 12.2.4 Oracle Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.2.5 Oracle Recent Development
    • 12.3 SAP SE
      • 12.3.1 SAP SE Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 Big Data Analytics in Banking Introduction
      • 12.3.4 SAP SE Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.3.5 SAP SE Recent Development
    • 12.4 Microsoft
      • 12.4.1 Microsoft Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 Big Data Analytics in Banking Introduction
      • 12.4.4 Microsoft Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.4.5 Microsoft Recent Development
    • 12.5 HP
      • 12.5.1 HP Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 Big Data Analytics in Banking Introduction
      • 12.5.4 HP Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.5.5 HP Recent Development
    • 12.6 Amazon AWS
      • 12.6.1 Amazon AWS Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 Big Data Analytics in Banking Introduction
      • 12.6.4 Amazon AWS Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.6.5 Amazon AWS Recent Development
    • 12.7 Google
      • 12.7.1 Google Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 Big Data Analytics in Banking Introduction
      • 12.7.4 Google Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.7.5 Google Recent Development
    • 12.8 Hitachi Data Systems
      • 12.8.1 Hitachi Data Systems Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 Big Data Analytics in Banking Introduction
      • 12.8.4 Hitachi Data Systems Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.8.5 Hitachi Data Systems Recent Development
    • 12.9 Tableau
      • 12.9.1 Tableau Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 Big Data Analytics in Banking Introduction
      • 12.9.4 Tableau Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.9.5 Tableau Recent Development
    • 12.10 New Relic
      • 12.10.1 New Relic Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 Big Data Analytics in Banking Introduction
      • 12.10.4 New Relic Revenue in Big Data Analytics in Banking Business (2013-2018)
      • 12.10.5 New Relic Recent Development
    • 12.11 Alation
    • 12.12 Teradata
    • 12.13 VMware
    • 12.14 Splice Machine
    • 12.15 Splunk Enterprise
    • 12.16 Alteryx
  • 13 Market Forecast 2018-2025
    • 13.1 Market Size Forecast by Regions
    • 13.2 United States
    • 13.3 Europe
    • 13.4 China
    • 13.5 Japan
    • 13.6 Southeast Asia
    • 13.7 India
    • 13.8 Central & South America
    • 13.9 Market Size Forecast by Product (2018-2025)
    • 13.10 Market Size Forecast by Application (2018-2025)
  • 14 Analyst’s Viewpoints/Conclusions
  • 15 Appendix
    • 15.1 Research Methodology
      • 15.1.1 Methodology/Research Approach
        • 15.1.1.1 Research Programs/Design
        • 15.1.1.2 Market Size Estimation
        • 12.1.1.3 Market Breakdown and Data Triangulation
      • 15.1.2 Data Source
        • 15.1.2.1 Secondary Sources
        • 15.1.2.2 Primary Sources
    • 15.2 Disclaimer
    • 15.3 Author Details

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PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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